Subspace methods for pattern recognition in intelligent environment. Studies in computational intelligence.

Chen, Yen-Wei

ISBN 10: 3642548504 / ISBN 13: 9783642548505

Published by Heidelberg, Springer, 2014

About this Item

198 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. L07711 9783642548505 Sprache: Englisch Gewicht in Gramm: 530.

Seller Inventory # 2531132

Bibliographic Details

• Title: Subspace methods for pattern recognition in intelligent environment. Studies in computational intelligence.
• Publisher: Heidelberg, Springer
• Publication Date: 2014
• Language: English
• ISBN 10: 3642548504
• ISBN 13: 9783642548505
• Binding: Softcover
• Weight: 530 grams
• Seller catalogs:
  • AA Varia

About this title

Synopsis

This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to extract core information or useful features is an important issue. Subspace methods are widely used for dimension reduction and feature extraction in pattern recognition. They transform a high-dimensional data to a lower-dimensional space (subspace), where most information is retained. The book covers a broad spectrum of subspace methods including linear, nonlinear and multilinear subspace learning methods and applications. The applications include face alignment, face recognition, medical image analysis, remote sensing image classification, traffic sign recognition, image clustering, super resolution, edge detection, multi-view facial image synthesis.